A Comprehensive Evaluation Index System for Annual Wind Power Time Series

Le résumé fourni par la source

As the proportion of wind power in the renewable energy continues to rise, reconstructing wind power time-series curves has become crucial for power system planning. This study develops a comprehensive evaluation index system especially for annual wind power time series, integrating three key dimensions: statistical characteristics, time correlation, and multifractality. When these indices are applied to such reconstructed wind power time-series curves, the comprehensive evaluation index system can effectively capture their core characteristics and then provides a quantitative basis for evaluating the quality of these curves obtained by means of different methods, thus guaranteeing the accuracy and reliability of power system planning.

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